Director, Data Intelligence & Tax Analytics

NYC Department of Finance; New York (NY); Hybrid; USD 110,000 - 135,000; Full time

Job summary

NYC Department of Finance seeks an Administrative Staff Analyst to lead a data intelligence unit, overseeing model development and quality assurance. You will prepare reports, address ad hoc requests, and ensure analytical outputs support tax policy and audit activities.

Required advanced degrees or substantial professional experience in economics, finance, or public administration, with strong SAS programming and communication skills. Hybrid work options available.

Qualifications

• Master's or bachelor's degree with extensive public sector experience.
• Strong programming, data analysis and modeling capabilities.
• Experience in budget/financial administration or program evaluation.

Responsibilities

• Provide supervisory direction over a unit performing advanced analytics.
• Develop and validate models; ensure alignment with audit needs.
• Prepare model reports and investigate anomalies for adjustments.
• Respond to ad hoc data requests with documented results.
• Supervise review of tax return adjustments triggering QA.
• Perform complex SAS programming and maintain datasets.

Skills

Programming

Data analysis

Statistical methods

Interpersonal skills

Written & verbal communication

Qualitative analysis

Quantitative analysis

Education

Master's degree in economics, finance, accounting, business or public administration

Bachelor's degree with 4 years relevant experience

Associate degree with 6 years experience

High school diploma with 8 years experience

Job description

NYC Department of Finance seeks an Administrative Staff Analyst to lead a data intelligence unit, overseeing model development and quality assurance. You will prepare reports, address ad hoc requests, and ensure analytical outputs support tax policy and audit activities.

Required advanced degrees or substantial professional experience in economics, finance, or public administration, with strong SAS programming and communication skills. Hybrid work options available.